Tasq AI
Sector: AI & Machine Learning
About Tasq AI
Transformation of the AI lifecycle in industries including General AI and Large Language Models (LLMs). (merged with Blend)
Products
Tasq Platform; AI-Human Hybrid Labeling; Data Quality Suite
Tasq.ai bridges the gap between foundation models and real-world enterprise applications for AI innovators. They assist enterprises in enhancing open-source models that are readily available, providing them with greater flexibility and options as they build AI solutions. With Tasq.ai’s platform, users can customize foundation models to fit their specific needs. The application development process starts with examining the predictions made by a chosen foundation model “out of the box” on their data. These initial predictions serve as training labels for the data points. Tasq.ai assists users in identifying error modes in the model and efficiently addressing them through human labeling. This may involve updating the training labels using heuristics or prompts. The original foundation model can then be fine-tuned using the updated labels and evaluated again. This iterative “detect and correct” process continues until the adapted foundation model reaches the desired level of quality for deployment.
Latest Company Updates
- Generative AI Model Validation Best Practices for Reliable AI Systems
- How to Reduce Hallucinations in LLMs, AI Chatbots, and AI Agents
- Tasq.ai and BLEND Merge to Launch the “Trust Layer” for Global Enterprise AI
- Unveiling the Best GenAI Model for Retail: A Comparative Study Using Tasq.ai’s Eval Genie
- The 57% Hallucination Rate in LLMs: A Call for Better AI Evaluation